Pandas Profiling Report - Merged Seasons Data

Dataset statistics

Number of variables	35
Number of observations	133598
Missing cells	118
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	34.8 MiB
Average record size in memory	273.0 B

Variable types

Categorical	13
Numeric	21
Boolean	1

Alerts

`name` has a high cardinality: 3158 distinct values	High cardinality
`kickoff_time` has a high cardinality: 1384 distinct values	High cardinality
`bonus` is highly correlated with `goals_scored`	High correlation
`bps` is highly correlated with `creativity` and 7 other fields	High correlation
`clean_sheets` is highly correlated with `total_points`	High correlation
`creativity` is highly correlated with `bps` and 7 other fields	High correlation
`fixture` is highly correlated with `round` and 1 other fields	High correlation
`goals_conceded` is highly correlated with `bps` and 5 other fields	High correlation
`goals_scored` is highly correlated with `bonus`	High correlation
`ict_index` is highly correlated with `bps` and 7 other fields	High correlation
`influence` is highly correlated with `bps` and 7 other fields	High correlation
`minutes` is highly correlated with `bps` and 8 other fields	High correlation
`round` is highly correlated with `fixture` and 1 other fields	High correlation
`selected` is highly correlated with `minutes` and 2 other fields	High correlation
`threat` is highly correlated with `bps` and 5 other fields	High correlation
`total_points` is highly correlated with `bps` and 8 other fields	High correlation
`transfers_in` is highly correlated with `bps` and 7 other fields	High correlation
`transfers_out` is highly correlated with `selected` and 1 other fields	High correlation
`GW` is highly correlated with `fixture` and 1 other fields	High correlation
`bonus` is highly correlated with `bps` and 4 other fields	High correlation
`bps` is highly correlated with `bonus` and 7 other fields	High correlation
`clean_sheets` is highly correlated with `bps` and 1 other fields	High correlation
`creativity` is highly correlated with `bps` and 3 other fields	High correlation
`fixture` is highly correlated with `round` and 1 other fields	High correlation
`goals_conceded` is highly correlated with `minutes`	High correlation
`goals_scored` is highly correlated with `bonus` and 5 other fields	High correlation
`ict_index` is highly correlated with `bonus` and 7 other fields	High correlation
`influence` is highly correlated with `bonus` and 7 other fields	High correlation
`minutes` is highly correlated with `bps` and 5 other fields	High correlation
`round` is highly correlated with `fixture` and 1 other fields	High correlation
`selected` is highly correlated with `transfers_in` and 1 other fields	High correlation
`threat` is highly correlated with `goals_scored` and 3 other fields	High correlation
`total_points` is highly correlated with `bonus` and 7 other fields	High correlation
`transfers_balance` is highly correlated with `transfers_in` and 1 other fields	High correlation
`transfers_in` is highly correlated with `selected` and 1 other fields	High correlation
`transfers_out` is highly correlated with `selected` and 1 other fields	High correlation
`GW` is highly correlated with `fixture` and 1 other fields	High correlation
`bonus` is highly correlated with `goals_scored`	High correlation
`bps` is highly correlated with `creativity` and 6 other fields	High correlation
`creativity` is highly correlated with `bps` and 6 other fields	High correlation
`fixture` is highly correlated with `round` and 1 other fields	High correlation
`goals_conceded` is highly correlated with `bps` and 4 other fields	High correlation
`goals_scored` is highly correlated with `bonus`	High correlation
`ict_index` is highly correlated with `bps` and 6 other fields	High correlation
`influence` is highly correlated with `bps` and 6 other fields	High correlation
`minutes` is highly correlated with `bps` and 6 other fields	High correlation
`round` is highly correlated with `fixture` and 1 other fields	High correlation
`selected` is highly correlated with `transfers_in` and 1 other fields	High correlation
`threat` is highly correlated with `bps` and 5 other fields	High correlation
`total_points` is highly correlated with `bps` and 5 other fields	High correlation
`transfers_in` is highly correlated with `selected` and 1 other fields	High correlation
`transfers_out` is highly correlated with `selected` and 1 other fields	High correlation
`GW` is highly correlated with `fixture` and 1 other fields	High correlation
`assists` is highly correlated with `bps` and 1 other fields	High correlation
`bonus` is highly correlated with `bps` and 3 other fields	High correlation
`bps` is highly correlated with `assists` and 9 other fields	High correlation
`clean_sheets` is highly correlated with `bps` and 2 other fields	High correlation
`creativity` is highly correlated with `ict_index`	High correlation
`fixture` is highly correlated with `round` and 1 other fields	High correlation
`goals_conceded` is highly correlated with `bps` and 3 other fields	High correlation
`goals_scored` is highly correlated with `bps` and 4 other fields	High correlation
`ict_index` is highly correlated with `bonus` and 7 other fields	High correlation
`influence` is highly correlated with `bonus` and 6 other fields	High correlation
`minutes` is highly correlated with `bps` and 5 other fields	High correlation
`round` is highly correlated with `fixture` and 1 other fields	High correlation
`selected` is highly correlated with `transfers_balance` and 1 other fields	High correlation
`team_h_score` is highly correlated with `goals_conceded`	High correlation
`threat` is highly correlated with `bps` and 4 other fields	High correlation
`total_points` is highly correlated with `assists` and 9 other fields	High correlation
`transfers_balance` is highly correlated with `selected` and 2 other fields	High correlation
`transfers_in` is highly correlated with `transfers_balance`	High correlation
`transfers_out` is highly correlated with `transfers_balance`	High correlation
`value` is highly correlated with `selected`	High correlation
`GW` is highly correlated with `fixture` and 1 other fields	High correlation
`bps` has 74250 (55.6%) zeros	Zeros
`creativity` has 80158 (60.0%) zeros	Zeros
`goals_conceded` has 96773 (72.4%) zeros	Zeros
`ict_index` has 75236 (56.3%) zeros	Zeros
`influence` has 77609 (58.1%) zeros	Zeros
`minutes` has 73252 (54.8%) zeros	Zeros
`saves` has 129543 (97.0%) zeros	Zeros
`team_a_score` has 43513 (32.6%) zeros	Zeros
`team_h_score` has 32545 (24.4%) zeros	Zeros
`threat` has 94571 (70.8%) zeros	Zeros
`total_points` has 76033 (56.9%) zeros	Zeros
`transfers_balance` has 4824 (3.6%) zeros	Zeros
`transfers_in` has 9059 (6.8%) zeros	Zeros
`transfers_out` has 4217 (3.2%) zeros	Zeros

Reproduction

Analysis started	2022-07-16 14:56:37.477443
Analysis finished	2022-07-16 14:57:52.955462
Duration	1 minute and 15.48 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

name
Categorical

HIGH CARDINALITY

Distinct	3158
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Ben Davies	113
Aaron_Cresswell	76
Leroy_Fer	76
Manuel_Agudo Durán	76
Mame Biram_Diouf	76
Other values (3153)	133181

Length

Max length	44
Median length	40
Mean length	15.68106558
Min length	7

Characters and Unicode

Total characters	2094959
Distinct characters	114
Distinct categories	16 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	< 0.1%

Sample

1st row	Aaron_Cresswell
2nd row	Aaron_Lennon
3rd row	Aaron_Ramsey
4th row	Abdoulaye_Doucouré
5th row	Abdul Rahman_Baba

Common Values

Value	Count	Frequency (%)
Ben Davies	113	0.1%
Aaron_Cresswell	76	0.1%
Leroy_Fer	76	0.1%
Manuel_Agudo Durán	76	0.1%
Mame Biram_Diouf	76	0.1%
Mamadou_Sakho	76	0.1%
Maarten_Stekelenburg	76	0.1%
Lys_Mousset	76	0.1%
Luke_Shaw	76	0.1%
Lukasz_Fabianski	76	0.1%
Other values (3148)	132801	99.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	1281	0.6%
silva	1050	0.5%
james	903	0.5%
da	699	0.4%
ben	582	0.3%
santos	498	0.3%
jack	493	0.2%
ryan	485	0.2%
gabriel	447	0.2%
nathan	385	0.2%
Other values (3824)	191983	96.6%

Most occurring characters

Value	Count	Frequency (%)
a	184544	8.8%
e	165076	7.9%
_	134846	6.4%
n	133022	6.3%
o	124540	5.9%
r	118689	5.7%
i	117044	5.6%
l	86783	4.1%
s	75250	3.6%
	65208	3.1%
Other values (104)	889957	42.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1453000	69.4%
Uppercase Letter	301832	14.4%
Connector Punctuation	134846	6.4%
Decimal Number	124813	6.0%
Space Separator	65208	3.1%
Dash Punctuation	5119	0.2%
Other Symbol	2939	0.1%
Other Punctuation	2794	0.1%
Format	1144	0.1%
Other Number	816	< 0.1%
Other values (6)	2448	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	184544	12.7%
e	165076	11.4%
n	133022	9.2%
o	124540	8.6%
r	118689	8.2%
i	117044	8.1%
l	86783	6.0%
s	75250	5.2%
t	57466	4.0%
d	51808	3.6%
Other values (35)	338778	23.3%

Uppercase Letter

Value	Count	Frequency (%)
M	30093	10.0%
S	23735	7.9%
A	23578	7.8%
J	22739	7.5%
C	19532	6.5%
D	18110	6.0%
B	17197	5.7%
R	15342	5.1%
L	14093	4.7%
G	11645	3.9%
Other values (22)	105768	35.0%

Decimal Number

Value	Count	Frequency (%)
1	16833	13.5%
2	16672	13.4%
3	16653	13.3%
4	16427	13.2%
5	14492	11.6%
6	9521	7.6%
7	8628	6.9%
8	8574	6.9%
9	8532	6.8%
0	8481	6.8%

Control

Value	Count	Frequency (%)
	206	28.3%
	165	22.7%
	121	16.6%
	77	10.6%
	68	9.4%
	36	5.0%
	29	4.0%
	25	3.4%

Other Punctuation

Value	Count	Frequency (%)
¡	1474	52.8%
'	638	22.8%
¶	520	18.6%
§	162	5.8%

Currency Symbol

Value	Count	Frequency (%)
£	451	77.1%
¤	105	17.9%
¢	29	5.0%

Other Number

Value	Count	Frequency (%)
¼	557	68.3%
³	259	31.7%

Modifier Symbol

Value	Count	Frequency (%)
¯	207	51.6%
¸	194	48.4%

Connector Punctuation

Value	Count	Frequency (%)
_	134846	100.0%

Space Separator

Value	Count	Frequency (%)
	65208	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5119	100.0%

Other Symbol

Value	Count	Frequency (%)
©	2939	100.0%

Format

Value	Count	Frequency (%)
	1144	100.0%

Other Letter

Value	Count	Frequency (%)
º	557	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	171	100.0%

Math Symbol

Value	Count	Frequency (%)
±	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1755389	83.8%
Common	339570	16.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	184544	10.5%
e	165076	9.4%
n	133022	7.6%
o	124540	7.1%
r	118689	6.8%
i	117044	6.7%
l	86783	4.9%
s	75250	4.3%
t	57466	3.3%
d	51808	3.0%
Other values (68)	641167	36.5%

Common

Value	Count	Frequency (%)
_	134846	39.7%
	65208	19.2%
1	16833	5.0%
2	16672	4.9%
3	16653	4.9%
4	16427	4.8%
5	14492	4.3%
6	9521	2.8%
7	8628	2.5%
8	8574	2.5%
Other values (26)	31716	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2067598	98.7%
None	27361	1.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	184544	8.9%
e	165076	8.0%
_	134846	6.5%
n	133022	6.4%
o	124540	6.0%
r	118689	5.7%
i	117044	5.7%
l	86783	4.2%
s	75250	3.6%
	65208	3.2%
Other values (56)	862596	41.7%

None

Value	Count	Frequency (%)
Ã	9273	33.9%
é	3322	12.1%
©	2939	10.7%
¡	1474	5.4%
	1144	4.2%
á	1119	4.1%
í	891	3.3%
ö	570	2.1%
¼	557	2.0%
º	557	2.0%
Other values (38)	5515	20.2%

assists
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	128734
1	4468
2	368
3	26
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	128734	96.4%
1	4468	3.3%
2	368	0.3%
3	26	< 0.1%
4	2	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	128734	96.4%
1	4468	3.3%
2	368	0.3%
3	26	< 0.1%
4	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	128734	96.4%
1	4468	3.3%
2	368	0.3%
3	26	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	128734	96.4%
1	4468	3.3%
2	368	0.3%
3	26	< 0.1%
4	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	128734	96.4%
1	4468	3.3%
2	368	0.3%
3	26	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	128734	96.4%
1	4468	3.3%
2	368	0.3%
3	26	< 0.1%
4	2	< 0.1%

bonus
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	126581
1	2370
3	2358
2	2289

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	126581	94.7%
1	2370	1.8%
3	2358	1.8%
2	2289	1.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	126581	94.7%
1	2370	1.8%
3	2358	1.8%
2	2289	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	126581	94.7%
1	2370	1.8%
3	2358	1.8%
2	2289	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	126581	94.7%
1	2370	1.8%
3	2358	1.8%
2	2289	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	126581	94.7%
1	2370	1.8%
3	2358	1.8%
2	2289	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	126581	94.7%
1	2370	1.8%
3	2358	1.8%
2	2289	1.7%

bps
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	112
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.028076768

Minimum	-19
Maximum	114
Zeros	74250
Zeros (%)	55.6%
Negative	1693
Negative (%)	1.3%
Memory size	1.0 MiB

Quantile statistics

Minimum	-19
5-th percentile	0
Q1	0
median	0
Q3	10
95-th percentile	27
Maximum	114
Range	133
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	9.784385431
Coefficient of variation (CV)	1.623135505
Kurtosis	5.066219879
Mean	6.028076768
Median Absolute Deviation (MAD)	0
Skewness	1.9977969
Sum	805339
Variance	95.73419825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	74250	55.6%
3	4658	3.5%
4	2708	2.0%
2	2668	2.0%
12	2577	1.9%
13	2575	1.9%
11	2467	1.8%
10	2454	1.8%
14	2388	1.8%
9	2314	1.7%
Other values (102)	34539	25.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-19	1	< 0.1%
-18	1	< 0.1%
-16	1	< 0.1%
-15	1	< 0.1%
-14	3	< 0.1%
-12	4	< 0.1%
-11	6	< 0.1%
-10	16	< 0.1%
-9	17	< 0.1%
-8	35	< 0.1%

Value	Count	Frequency (%)
114	1	< 0.1%
104	1	< 0.1%
102	1	< 0.1%
99	1	< 0.1%
96	1	< 0.1%
94	2	< 0.1%
93	2	< 0.1%
92	2	< 0.1%
90	2	< 0.1%
89	1	< 0.1%

clean_sheets
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	119570
1	14028

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	119570	89.5%
1	14028	10.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	119570	89.5%
1	14028	10.5%

Most occurring characters

Value	Count	Frequency (%)
0	119570	89.5%
1	14028	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	119570	89.5%
1	14028	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	119570	89.5%
1	14028	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	119570	89.5%
1	14028	10.5%

creativity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	890
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.789518556

Minimum	0
Maximum	170.9
Zeros	80158
Zeros (%)	60.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2.7
95-th percentile	27.6
Maximum	170.9
Range	170.9
Interquartile range (IQR)	2.7

Descriptive statistics

Standard deviation	10.78586477
Coefficient of variation (CV)	2.251972645
Kurtosis	14.30772088
Mean	4.789518556
Median Absolute Deviation (MAD)	0
Skewness	3.30414951
Sum	639870.1
Variance	116.3348789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	80158	60.0%
0.3	2915	2.2%
0.1	1534	1.1%
0.8	1502	1.1%
1.3	1117	0.8%
0.5	1116	0.8%
0.2	985	0.7%
0.4	931	0.7%
0.6	883	0.7%
1.8	866	0.6%
Other values (880)	41591	31.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	80158	60.0%
0.1	1534	1.1%
0.2	985	0.7%
0.3	2915	2.2%
0.4	931	0.7%
0.5	1116	0.8%
0.6	883	0.7%
0.7	749	0.6%
0.8	1502	1.1%
0.9	636	0.5%

Value	Count	Frequency (%)
170.9	1	< 0.1%
136.2	1	< 0.1%
134.8	1	< 0.1%
134.3	1	< 0.1%
133.5	1	< 0.1%
127.7	1	< 0.1%
123.9	1	< 0.1%
118.1	1	< 0.1%
114.8	1	< 0.1%
114.4	1	< 0.1%

element
Real number (ℝ_≥0)

Distinct	714
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	307.9853291

Minimum	1
Maximum	714
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	31
Q1	153
median	306
Q3	459
95-th percentile	594
Maximum	714
Range	713
Interquartile range (IQR)	306

Descriptive statistics

Standard deviation	179.9199976
Coefficient of variation (CV)	0.5841836626
Kurtosis	-1.104059664
Mean	307.9853291
Median Absolute Deviation (MAD)	153
Skewness	0.06763434893
Sum	41146224
Variance	32371.20553
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
489	221	0.2%
440	221	0.2%
490	221	0.2%
427	221	0.2%
443	221	0.2%
90	220	0.2%
189	220	0.2%
414	220	0.2%
438	220	0.2%
446	220	0.2%
Other values (704)	131393	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	219	0.2%
2	219	0.2%
3	219	0.2%
4	219	0.2%
5	219	0.2%
6	219	0.2%
7	219	0.2%
8	219	0.2%
9	219	0.2%
10	220	0.2%

Value	Count	Frequency (%)
714	5	< 0.1%
713	6	< 0.1%
712	5	< 0.1%
711	7	< 0.1%
710	6	< 0.1%
709	6	< 0.1%
708	7	< 0.1%
707	8	< 0.1%
706	8	< 0.1%
705	9	< 0.1%

fixture
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	380
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	191.4343179

Minimum	1
Maximum	380
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	21
Q1	100
median	193
Q3	281
95-th percentile	360
Maximum	380
Range	379
Interquartile range (IQR)	181

Descriptive statistics

Standard deviation	107.3900055
Coefficient of variation (CV)	0.5609757264
Kurtosis	-1.153204556
Mean	191.4343179
Median Absolute Deviation (MAD)	91
Skewness	-0.02045189867
Sum	25575242
Variance	11532.61329
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
275	437	0.3%
279	427	0.3%
300	417	0.3%
252	415	0.3%
259	413	0.3%
251	406	0.3%
291	406	0.3%
270	405	0.3%
289	403	0.3%
261	403	0.3%
Other values (370)	129466	96.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	310	0.2%
2	317	0.2%
3	310	0.2%
4	311	0.2%
5	309	0.2%
6	320	0.2%
7	325	0.2%
8	327	0.2%
9	328	0.2%
10	316	0.2%

Value	Count	Frequency (%)
380	350	0.3%
379	323	0.2%
378	352	0.3%
377	325	0.2%
376	321	0.2%
375	327	0.2%
374	334	0.3%
373	330	0.2%
372	344	0.3%
371	321	0.2%

goals_conceded
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4950074103

Minimum	0
Maximum	9
Zeros	96773
Zeros (%)	72.4%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9676928672
Coefficient of variation (CV)	1.95490582
Kurtosis	6.336407128
Mean	0.4950074103
Median Absolute Deviation (MAD)	0
Skewness	2.353226786
Sum	66132
Variance	0.9364294853
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	96773	72.4%
1	18703	14.0%
2	10678	8.0%
3	4837	3.6%
4	1784	1.3%
5	629	0.5%
6	119	0.1%
7	50	< 0.1%
9	17	< 0.1%
8	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	96773	72.4%
1	18703	14.0%
2	10678	8.0%
3	4837	3.6%
4	1784	1.3%
5	629	0.5%
6	119	0.1%
7	50	< 0.1%
8	8	< 0.1%
9	17	< 0.1%

Value	Count	Frequency (%)
9	17	< 0.1%
8	8	< 0.1%
7	50	< 0.1%
6	119	0.1%
5	629	0.5%
4	1784	1.3%
3	4837	3.6%
2	10678	8.0%
1	18703	14.0%
0	96773	72.4%

goals_scored
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	128395
1	4662
2	477
3	58
4	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	128395	96.1%
1	4662	3.5%
2	477	0.4%
3	58	< 0.1%
4	6	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	128395	96.1%
1	4662	3.5%
2	477	0.4%
3	58	< 0.1%
4	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	128395	96.1%
1	4662	3.5%
2	477	0.4%
3	58	< 0.1%
4	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	128395	96.1%
1	4662	3.5%
2	477	0.4%
3	58	< 0.1%
4	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	128395	96.1%
1	4662	3.5%
2	477	0.4%
3	58	< 0.1%
4	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	128395	96.1%
1	4662	3.5%
2	477	0.4%
3	58	< 0.1%
4	6	< 0.1%

ict_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	274
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.73615623

Minimum	0
Maximum	35.8
Zeros	75236
Zeros (%)	56.3%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2.5
95-th percentile	8.2
Maximum	35.8
Range	35.8
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	3.061252245
Coefficient of variation (CV)	1.763235469
Kurtosis	8.663819987
Mean	1.73615623
Median Absolute Deviation (MAD)	0
Skewness	2.595539149
Sum	231947
Variance	9.371265305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	75236	56.3%
0.2	1229	0.9%
2.3	1179	0.9%
2.1	1179	0.9%
1.9	1175	0.9%
2	1163	0.9%
1.8	1158	0.9%
0.1	1126	0.8%
2.2	1105	0.8%
1.5	1080	0.8%
Other values (264)	47968	35.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	75236	56.3%
0.1	1126	0.8%
0.2	1229	0.9%
0.3	1071	0.8%
0.4	931	0.7%
0.5	881	0.7%
0.6	788	0.6%
0.7	860	0.6%
0.8	783	0.6%
0.9	853	0.6%

Value	Count	Frequency (%)
35.8	1	< 0.1%
32.8	1	< 0.1%
31.1	1	< 0.1%
30.4	1	< 0.1%
30.1	2	< 0.1%
29.5	1	< 0.1%
28.2	1	< 0.1%
28.1	1	< 0.1%
28	1	< 0.1%
27.9	1	< 0.1%

influence
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	534
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.213058579

Minimum	0
Maximum	163.6
Zeros	77609
Zeros (%)	58.1%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	10.8
95-th percentile	34.8
Maximum	163.6
Range	163.6
Interquartile range (IQR)	10.8

Descriptive statistics

Standard deviation	12.87292689
Coefficient of variation (CV)	1.784669672
Kurtosis	8.802516867
Mean	7.213058579
Median Absolute Deviation (MAD)	0
Skewness	2.558131224
Sum	963650.2
Variance	165.7122467
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	77609	58.1%
0.2	912	0.7%
2	648	0.5%
2.2	602	0.5%
1	576	0.4%
1.2	554	0.4%
2.4	509	0.4%
0.4	508	0.4%
3.2	506	0.4%
3	491	0.4%
Other values (524)	50683	37.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	77609	58.1%
0.2	912	0.7%
0.4	508	0.4%
0.6	364	0.3%
0.8	254	0.2%
1	576	0.4%
1.2	554	0.4%
1.4	434	0.3%
1.6	336	0.3%
1.8	283	0.2%

Value	Count	Frequency (%)
163.6	1	< 0.1%
157.8	1	< 0.1%
144.2	1	< 0.1%
144	1	< 0.1%
139.6	1	< 0.1%
137	1	< 0.1%
133.8	1	< 0.1%
131.4	1	< 0.1%
131	1	< 0.1%
129.6	1	< 0.1%

kickoff_time
Categorical

HIGH CARDINALITY

Distinct	1384
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

2021-05-23T15:00:00Z	713
2017-05-21T14:00:00Z	683
2020-07-26T15:00:00Z	666
2018-05-13T14:00:00Z	647
2019-05-12T14:00:00Z	624
Other values (1379)	130265

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	2671960
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016-08-15T19:00:00Z
2nd row	2016-08-13T14:00:00Z
3rd row	2016-08-14T15:00:00Z
4th row	2016-08-13T14:00:00Z
5th row	2016-08-15T19:00:00Z

Common Values

Value	Count	Frequency (%)
2021-05-23T15:00:00Z	713	0.5%
2017-05-21T14:00:00Z	683	0.5%
2020-07-26T15:00:00Z	666	0.5%
2018-05-13T14:00:00Z	647	0.5%
2019-05-12T14:00:00Z	624	0.5%
2022-02-19T15:00:00Z	442	0.3%
2017-04-01T14:00:00Z	406	0.3%
2017-02-04T15:00:00Z	405	0.3%
2017-01-14T15:00:00Z	390	0.3%
2017-01-31T19:45:00Z	387	0.3%
Other values (1374)	128235	96.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-05-23t15:00:00z	713	0.5%
2017-05-21t14:00:00z	683	0.5%
2020-07-26t15:00:00z	666	0.5%
2018-05-13t14:00:00z	647	0.5%
2019-05-12t14:00:00z	624	0.5%
2022-02-19t15:00:00z	442	0.3%
2017-04-01t14:00:00z	406	0.3%
2017-02-04t15:00:00z	405	0.3%
2017-01-14t15:00:00z	390	0.3%
2017-01-31t19:45:00z	387	0.3%
Other values (1374)	128235	96.0%

Most occurring characters

Value	Count	Frequency (%)
0	784718	29.4%
1	376588	14.1%
2	312031	11.7%
-	267196	10.0%
:	267196	10.0%
T	133598	5.0%
Z	133598	5.0%
3	72215	2.7%
5	68636	2.6%
9	62407	2.3%
Other values (4)	193777	7.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1870372	70.0%
Dash Punctuation	267196	10.0%
Other Punctuation	267196	10.0%
Uppercase Letter	267196	10.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	784718	42.0%
1	376588	20.1%
2	312031	16.7%
3	72215	3.9%
5	68636	3.7%
9	62407	3.3%
4	60157	3.2%
7	49060	2.6%
8	46735	2.5%
6	37825	2.0%

Uppercase Letter

Value	Count	Frequency (%)
T	133598	50.0%
Z	133598	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	267196	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	267196	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2404764	90.0%
Latin	267196	10.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	784718	32.6%
1	376588	15.7%
2	312031	13.0%
-	267196	11.1%
:	267196	11.1%
3	72215	3.0%
5	68636	2.9%
9	62407	2.6%
4	60157	2.5%
7	49060	2.0%
Other values (2)	84560	3.5%

Latin

Value	Count	Frequency (%)
T	133598	50.0%
Z	133598	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2671960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	784718	29.4%
1	376588	14.1%
2	312031	11.7%
-	267196	10.0%
:	267196	10.0%
T	133598	5.0%
Z	133598	5.0%
3	72215	2.7%
5	68636	2.6%
9	62407	2.3%
Other values (4)	193777	7.3%

minutes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	91
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.31013189

Minimum	0
Maximum	90
Zeros	73252
Zeros (%)	54.8%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	90
95-th percentile	90
Maximum	90
Range	90
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	40.62748335
Coefficient of variation (CV)	1.257422393
Kurtosis	-1.562113344
Mean	32.31013189
Median Absolute Deviation (MAD)	0
Skewness	0.5841632447
Sum	4316569
Variance	1650.592403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	73252	54.8%
90	36349	27.2%
45	1561	1.2%
1	952	0.7%
77	422	0.3%
12	419	0.3%
10	398	0.3%
79	392	0.3%
78	387	0.3%
11	384	0.3%
Other values (81)	19082	14.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	73252	54.8%
1	952	0.7%
2	298	0.2%
3	274	0.2%
4	295	0.2%
5	308	0.2%
6	343	0.3%
7	365	0.3%
8	372	0.3%
9	357	0.3%

Value	Count	Frequency (%)
90	36349	27.2%
89	194	0.1%
88	248	0.2%
87	295	0.2%
86	282	0.2%
85	288	0.2%
84	314	0.2%
83	345	0.3%
82	378	0.3%
81	358	0.3%

opponent_team
Real number (ℝ_≥0)

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.50653453

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	11
Q3	16
95-th percentile	20
Maximum	20
Range	19
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	5.771480137
Coefficient of variation (CV)	0.5493229115
Kurtosis	-1.207590133
Mean	10.50653453
Median Absolute Deviation (MAD)	5
Skewness	-0.002217076822
Sum	1403652
Variance	33.30998297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
20	6732	5.0%
3	6725	5.0%
10	6723	5.0%
11	6714	5.0%
14	6713	5.0%
4	6712	5.0%
2	6712	5.0%
17	6707	5.0%
19	6706	5.0%
15	6694	5.0%
Other values (10)	66460	49.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6673	5.0%
2	6712	5.0%
3	6725	5.0%
4	6712	5.0%
5	6609	4.9%
6	6632	5.0%
7	6682	5.0%
8	6593	4.9%
9	6619	5.0%
10	6723	5.0%

Value	Count	Frequency (%)
20	6732	5.0%
19	6706	5.0%
18	6639	5.0%
17	6707	5.0%
16	6687	5.0%
15	6694	5.0%
14	6713	5.0%
13	6651	5.0%
12	6675	5.0%
11	6714	5.0%

own_goals
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	133400
1	198

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	133400	99.9%
1	198	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	133400	99.9%
1	198	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	133400	99.9%
1	198	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	133400	99.9%
1	198	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	133400	99.9%
1	198	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	133400	99.9%
1	198	0.1%

penalties_missed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	133475
1	123

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	133475	99.9%
1	123	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	133475	99.9%
1	123	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	133475	99.9%
1	123	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	133475	99.9%
1	123	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	133475	99.9%
1	123	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	133475	99.9%
1	123	0.1%

penalties_saved
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	133507
1	89
2	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	133507	99.9%
1	89	0.1%
2	2	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	133507	99.9%
1	89	0.1%
2	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	133507	99.9%
1	89	0.1%
2	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	133507	99.9%
1	89	0.1%
2	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	133507	99.9%
1	89	0.1%
2	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	133507	99.9%
1	89	0.1%
2	2	< 0.1%

red_cards
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	133345
1	253

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	133345	99.8%
1	253	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	133345	99.8%
1	253	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	133345	99.8%
1	253	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	133345	99.8%
1	253	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	133345	99.8%
1	253	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	133345	99.8%
1	253	0.2%

round
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.15223282

Minimum	1
Maximum	47
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	10
median	20
Q3	29
95-th percentile	38
Maximum	47
Range	46
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	11.47187289
Coefficient of variation (CV)	0.5692606368
Kurtosis	-0.9051103233
Mean	20.15223282
Median Absolute Deviation (MAD)	9
Skewness	0.1590178753
Sum	2692298
Variance	131.6038675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
26	4534	3.4%
25	3978	3.0%
24	3944	3.0%
22	3878	2.9%
23	3862	2.9%
27	3838	2.9%
29	3798	2.8%
19	3761	2.8%
28	3689	2.8%
21	3649	2.7%
Other values (37)	94667	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3065	2.3%
2	3214	2.4%
3	3270	2.4%
4	3355	2.5%
5	3395	2.5%
6	3416	2.6%
7	3438	2.6%
8	3459	2.6%
9	3473	2.6%
10	3491	2.6%

Value	Count	Frequency (%)
47	666	0.5%
46	665	0.5%
45	661	0.5%
44	654	0.5%
43	653	0.5%
42	652	0.5%
41	648	0.5%
40	644	0.5%
39	761	0.6%
38	2667	2.0%

saves
Real number (ℝ_≥0)

ZEROS

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0958247878

Minimum	0
Maximum	14
Zeros	129543
Zeros (%)	97.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	14
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6323516765
Coefficient of variation (CV)	6.599040718
Kurtosis	77.214323
Mean	0.0958247878
Median Absolute Deviation (MAD)	0
Skewness	8.138692724
Sum	12802
Variance	0.3998686428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	129543	97.0%
2	961	0.7%
1	816	0.6%
3	808	0.6%
4	612	0.5%
5	383	0.3%
6	244	0.2%
7	125	0.1%
8	52	< 0.1%
9	34	< 0.1%
Other values (5)	20	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129543	97.0%
1	816	0.6%
2	961	0.7%
3	808	0.6%
4	612	0.5%
5	383	0.3%
6	244	0.2%
7	125	0.1%
8	52	< 0.1%
9	34	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
13	1	< 0.1%
12	2	< 0.1%
11	5	< 0.1%
10	11	< 0.1%
9	34	< 0.1%
8	52	< 0.1%
7	125	0.1%
6	244	0.2%
5	383	0.3%

selected
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	77275
Distinct (%)	57.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	159575.9188

Minimum	0
Maximum	6483921
Zeros	740
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	506
Q1	5355
median	23682.5
Q3	121308.25
95-th percentile	804247.55
Maximum	6483921
Range	6483921
Interquartile range (IQR)	115953.25

Descriptive statistics

Standard deviation	390345.3434
Coefficient of variation (CV)	2.446141914
Kurtosis	37.77205216
Mean	159575.9188
Median Absolute Deviation (MAD)	22319.5
Skewness	5.222675061
Sum	2.13190236 × 10¹⁰
Variance	1.523694871 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	740	0.6%
39	40	< 0.1%
289	26	< 0.1%
60	25	< 0.1%
40	25	< 0.1%
321	24	< 0.1%
459	23	< 0.1%
323	23	< 0.1%
273	22	< 0.1%
329	22	< 0.1%
Other values (77265)	132628	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	740	0.6%
4	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	2	< 0.1%
11	2	< 0.1%
12	2	< 0.1%
13	4	< 0.1%
14	3	< 0.1%

Value	Count	Frequency (%)
6483921	1	< 0.1%
6467029	1	< 0.1%
6414019	1	< 0.1%
6375874	1	< 0.1%
6310003	1	< 0.1%
6294628	1	< 0.1%
6199228	1	< 0.1%
6116608	1	< 0.1%
6023450	1	< 0.1%
5847988	1	< 0.1%

team_a_score
Real number (ℝ_≥0)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	59
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.236799736

Minimum	0
Maximum	9
Zeros	43513
Zeros (%)	32.6%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.210256602
Coefficient of variation (CV)	0.9785388586
Kurtosis	1.560390217
Mean	1.236799736
Median Absolute Deviation (MAD)	1
Skewness	1.098277108
Sum	165161
Variance	1.464721044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	43773	32.8%
0	43513	32.6%
2	26728	20.0%
3	12877	9.6%
4	4730	3.5%
5	1432	1.1%
6	297	0.2%
7	131	0.1%
9	58	< 0.1%
(Missing)	59	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	43513	32.6%
1	43773	32.8%
2	26728	20.0%
3	12877	9.6%
4	4730	3.5%
5	1432	1.1%
6	297	0.2%
7	131	0.1%
9	58	< 0.1%

Value	Count	Frequency (%)
9	58	< 0.1%
7	131	0.1%
6	297	0.2%
5	1432	1.1%
4	4730	3.5%
3	12877	9.6%
2	26728	20.0%
1	43773	32.8%
0	43513	32.6%

team_h_score
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	59
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.506608556

Minimum	0
Maximum	9
Zeros	32545
Zeros (%)	24.4%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.309143275
Coefficient of variation (CV)	0.8689339178
Kurtosis	1.289726505
Mean	1.506608556
Median Absolute Deviation (MAD)	1
Skewness	0.9900795368
Sum	201191
Variance	1.713856115
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	43028	32.2%
0	32545	24.4%
2	31285	23.4%
3	16264	12.2%
4	6743	5.0%
5	2772	2.1%
6	541	0.4%
7	237	0.2%
9	72	0.1%
8	52	< 0.1%
(Missing)	59	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	32545	24.4%
1	43028	32.2%
2	31285	23.4%
3	16264	12.2%
4	6743	5.0%
5	2772	2.1%
6	541	0.4%
7	237	0.2%
8	52	< 0.1%
9	72	0.1%

Value	Count	Frequency (%)
9	72	0.1%
8	52	< 0.1%
7	237	0.2%
6	541	0.4%
5	2772	2.1%
4	6743	5.0%
3	16264	12.2%
2	31285	23.4%
1	43028	32.2%
0	32545	24.4%

threat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	153
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.370432192

Minimum	0
Maximum	199
Zeros	94571
Zeros (%)	70.8%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	34
Maximum	199
Range	199
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	13.58207808
Coefficient of variation (CV)	2.529047495
Kurtosis	18.21792722
Mean	5.370432192
Median Absolute Deviation (MAD)	0
Skewness	3.77329199
Sum	717479
Variance	184.4728451
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	94571	70.8%
2	6066	4.5%
4	3723	2.8%
8	2171	1.6%
6	1913	1.4%
1	1340	1.0%
17	1229	0.9%
10	1147	0.9%
7	1090	0.8%
18	964	0.7%
Other values (143)	19384	14.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	94571	70.8%
1	1340	1.0%
2	6066	4.5%
3	672	0.5%
4	3723	2.8%
5	458	0.3%
6	1913	1.4%
7	1090	0.8%
8	2171	1.6%
9	871	0.7%

Value	Count	Frequency (%)
199	1	< 0.1%
186	1	< 0.1%
181	1	< 0.1%
176	1	< 0.1%
161	2	< 0.1%
154	1	< 0.1%
152	2	< 0.1%
151	2	< 0.1%
148	1	< 0.1%
147	1	< 0.1%

total_points
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	32
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.346277639

Minimum	-7
Maximum	29
Zeros	76033
Zeros (%)	56.9%
Negative	606
Negative (%)	0.5%
Memory size	1.0 MiB

Quantile statistics

Minimum	-7
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	7
Maximum	29
Range	36
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.502680141
Coefficient of variation (CV)	1.858962868
Kurtosis	9.382405114
Mean	1.346277639
Median Absolute Deviation (MAD)	0
Skewness	2.781693113
Sum	179860
Variance	6.26340789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	76033	56.9%
1	19755	14.8%
2	17298	12.9%
3	4672	3.5%
6	4635	3.5%
5	2212	1.7%
7	1903	1.4%
8	1660	1.2%
9	1187	0.9%
4	1057	0.8%
Other values (22)	3186	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-7	1	< 0.1%
-6	1	< 0.1%
-4	6	< 0.1%
-3	37	< 0.1%
-2	159	0.1%
-1	402	0.3%
0	76033	56.9%
1	19755	14.8%
2	17298	12.9%
3	4672	3.5%

Value	Count	Frequency (%)
29	1	< 0.1%
26	1	< 0.1%
24	6	< 0.1%
23	2	< 0.1%
21	20	< 0.1%
20	18	< 0.1%
19	21	< 0.1%
18	35	< 0.1%
17	48	< 0.1%
16	100	0.1%

transfers_balance
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	35511
Distinct (%)	26.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	893.1517762

Minimum	-1857821
Maximum	1983733
Zeros	4824
Zeros (%)	3.6%
Negative	88363
Negative (%)	66.1%
Memory size	1.0 MiB

Quantile statistics

Minimum	-1857821
5-th percentile	-24104
Q1	-1235
median	-69
Q3	44
95-th percentile	27738.5
Maximum	1983733
Range	3841554
Interquartile range (IQR)	1279

Descriptive statistics

Standard deviation	51237.70989
Coefficient of variation (CV)	57.36730448
Kurtosis	188.491352
Mean	893.1517762
Median Absolute Deviation (MAD)	554
Skewness	0.6050967415
Sum	119323291
Variance	2625302915
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4824	3.6%
-1	976	0.7%
-2	954	0.7%
-3	859	0.6%
-4	786	0.6%
-5	714	0.5%
-7	670	0.5%
-6	645	0.5%
-8	604	0.5%
1	596	0.4%
Other values (35501)	121970	91.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1857821	1	< 0.1%
-1734284	1	< 0.1%
-1457440	1	< 0.1%
-1347561	1	< 0.1%
-1309566	1	< 0.1%
-1308054	1	< 0.1%
-1299896	1	< 0.1%
-1285903	1	< 0.1%
-1245778	1	< 0.1%
-1245393	1	< 0.1%

Value	Count	Frequency (%)
1983733	1	< 0.1%
1907229	1	< 0.1%
1288494	1	< 0.1%
1256075	2	< 0.1%
1253852	1	< 0.1%
1090832	1	< 0.1%
1089298	2	< 0.1%
1033358	1	< 0.1%
1011895	1	< 0.1%
995975	1	< 0.1%

transfers_in
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	26237
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11105.49463

Minimum	0
Maximum	2104464
Zeros	9059
Zeros (%)	6.8%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	42
median	349
Q3	3762
95-th percentile	54316.7
Maximum	2104464
Range	2104464
Interquartile range (IQR)	3720

Descriptive statistics

Standard deviation	44234.15593
Coefficient of variation (CV)	3.983087417
Kurtosis	201.376068
Mean	11105.49463
Median Absolute Deviation (MAD)	347
Skewness	10.71981616
Sum	1483671872
Variance	1956660551
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9059	6.8%
2	1014	0.8%
1	993	0.7%
3	930	0.7%
4	903	0.7%
5	899	0.7%
6	820	0.6%
7	813	0.6%
8	765	0.6%
10	761	0.6%
Other values (26227)	116641	87.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9059	6.8%
1	993	0.7%
2	1014	0.8%
3	930	0.7%
4	903	0.7%
5	899	0.7%
6	820	0.6%
7	813	0.6%
8	765	0.6%
9	748	0.6%

Value	Count	Frequency (%)
2104464	1	< 0.1%
1991731	1	< 0.1%
1318751	1	< 0.1%
1289456	1	< 0.1%
1263924	2	< 0.1%
1193587	1	< 0.1%
1127867	1	< 0.1%
1114343	2	< 0.1%
1064559	1	< 0.1%
1055501	1	< 0.1%

transfers_out
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	28652
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10211.8597

Minimum	0
Maximum	1872898
Zeros	4217
Zeros (%)	3.2%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	125
median	927
Q3	6087
95-th percentile	46008.95
Maximum	1872898
Range	1872898
Interquartile range (IQR)	5962

Descriptive statistics

Standard deviation	37826.58606
Coefficient of variation (CV)	3.704181919
Kurtosis	373.4981141
Mean	10211.8597
Median Absolute Deviation (MAD)	908
Skewness	14.59712497
Sum	1364284032
Variance	1430850613
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4217	3.2%
4	557	0.4%
2	525	0.4%
10	490	0.4%
9	482	0.4%
8	481	0.4%
7	480	0.4%
1	480	0.4%
3	466	0.3%
5	458	0.3%
Other values (28642)	124962	93.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4217	3.2%
1	480	0.4%
2	525	0.4%
3	466	0.3%
4	557	0.4%
5	458	0.3%
6	439	0.3%
7	480	0.4%
8	481	0.4%
9	482	0.4%

Value	Count	Frequency (%)
1872898	1	< 0.1%
1782662	1	< 0.1%
1571213	1	< 0.1%
1395400	1	< 0.1%
1391035	1	< 0.1%
1382044	1	< 0.1%
1380165	1	< 0.1%
1343610	1	< 0.1%
1291138	1	< 0.1%
1288089	2	< 0.1%

value
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	100
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.59444752

Minimum	37
Maximum	136
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	37
5-th percentile	40
Q1	44
median	48
Q3	55
95-th percentile	75
Maximum	136
Range	99
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	12.48928334
Coefficient of variation (CV)	0.2420664227
Kurtosis	9.05505825
Mean	51.59444752
Median Absolute Deviation (MAD)	5
Skewness	2.617414974
Sum	6892915
Variance	155.9821984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	18635	13.9%
44	11277	8.4%
50	9157	6.9%
43	8703	6.5%
40	8701	6.5%
49	6660	5.0%
48	6182	4.6%
55	4996	3.7%
54	4888	3.7%
47	4824	3.6%
Other values (90)	49575	37.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37	11	< 0.1%
38	253	0.2%
39	2329	1.7%
40	8701	6.5%
41	983	0.7%
42	3985	3.0%
43	8703	6.5%
44	11277	8.4%
45	18635	13.9%
46	2863	2.1%

Value	Count	Frequency (%)
136	5	< 0.1%
135	2	< 0.1%
134	2	< 0.1%
133	5	< 0.1%
132	10	< 0.1%
131	15	< 0.1%
130	27	< 0.1%
129	20	< 0.1%
128	36	< 0.1%
127	22	< 0.1%

was_home
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	130.6 KiB

False	66818
True	66780

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	66818	50.0%
True	66780	50.0%

yellow_cards
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

0	126436
1	7162

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	133598
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	126436	94.6%
1	7162	5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	126436	94.6%
1	7162	5.4%

Most occurring characters

Value	Count	Frequency (%)
0	126436	94.6%
1	7162	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	133598	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	126436	94.6%
1	7162	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	133598	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	126436	94.6%
1	7162	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	126436	94.6%
1	7162	5.4%

GW
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.15223282

Minimum	1
Maximum	47
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	10
median	20
Q3	29
95-th percentile	38
Maximum	47
Range	46
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	11.47187289
Coefficient of variation (CV)	0.5692606368
Kurtosis	-0.9051103233
Mean	20.15223282
Median Absolute Deviation (MAD)	9
Skewness	0.1590178753
Sum	2692298
Variance	131.6038675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
26	4534	3.4%
25	3978	3.0%
24	3944	3.0%
22	3878	2.9%
23	3862	2.9%
27	3838	2.9%
29	3798	2.8%
19	3761	2.8%
28	3689	2.8%
21	3649	2.7%
Other values (37)	94667	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3065	2.3%
2	3214	2.4%
3	3270	2.4%
4	3355	2.5%
5	3395	2.5%
6	3416	2.6%
7	3438	2.6%
8	3459	2.6%
9	3473	2.6%
10	3491	2.6%

Value	Count	Frequency (%)
47	666	0.5%
46	665	0.5%
45	661	0.5%
44	654	0.5%
43	653	0.5%
42	652	0.5%
41	648	0.5%
40	644	0.5%
39	761	0.6%
38	2667	2.0%

position
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

MID	55126
DEF	45353
FWD	18615
GK	14504

Length

Max length	3
Median length	3
Mean length	2.891435501
Min length	2

Characters and Unicode

Total characters	386290
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DEF
2nd row	MID
3rd row	MID
4th row	MID
5th row	DEF

Common Values

Value	Count	Frequency (%)
MID	55126	41.3%
DEF	45353	33.9%
FWD	18615	13.9%
GK	14504	10.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mid	55126	41.3%
def	45353	33.9%
fwd	18615	13.9%
gk	14504	10.9%

Most occurring characters

Value	Count	Frequency (%)
D	119094	30.8%
F	63968	16.6%
M	55126	14.3%
I	55126	14.3%
E	45353	11.7%
W	18615	4.8%
G	14504	3.8%
K	14504	3.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	386290	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
D	119094	30.8%
F	63968	16.6%
M	55126	14.3%
I	55126	14.3%
E	45353	11.7%
W	18615	4.8%
G	14504	3.8%
K	14504	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	386290	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	119094	30.8%
F	63968	16.6%
M	55126	14.3%
I	55126	14.3%
E	45353	11.7%
W	18615	4.8%
G	14504	3.8%
K	14504	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	386290	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	119094	30.8%
F	63968	16.6%
M	55126	14.3%
I	55126	14.3%
E	45353	11.7%
W	18615	4.8%
G	14504	3.8%
K	14504	3.8%

season
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

2020-21	24365
2016-17	23679
2019-20	22560
2017-18	22467
2018-19	21790

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	935186
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016-17
2nd row	2016-17
3rd row	2016-17
4th row	2016-17
5th row	2016-17

Common Values

Value	Count	Frequency (%)
2020-21	24365	18.2%
2016-17	23679	17.7%
2019-20	22560	16.9%
2017-18	22467	16.8%
2018-19	21790	16.3%
2021-22	18737	14.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-21	24365	18.2%
2016-17	23679	17.7%
2019-20	22560	16.9%
2017-18	22467	16.8%
2018-19	21790	16.3%
2021-22	18737	14.0%

Most occurring characters

Value	Count	Frequency (%)
2	261099	27.9%
1	201534	21.6%
0	180523	19.3%
-	133598	14.3%
7	46146	4.9%
9	44350	4.7%
8	44257	4.7%
6	23679	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	801588	85.7%
Dash Punctuation	133598	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	261099	32.6%
1	201534	25.1%
0	180523	22.5%
7	46146	5.8%
9	44350	5.5%
8	44257	5.5%
6	23679	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	133598	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	935186	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	261099	27.9%
1	201534	21.6%
0	180523	19.3%
-	133598	14.3%
7	46146	4.9%
9	44350	4.7%
8	44257	4.7%
6	23679	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	935186	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	261099	27.9%
1	201534	21.6%
0	180523	19.3%
-	133598	14.3%
7	46146	4.9%
9	44350	4.7%
8	44257	4.7%
6	23679	2.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	name	assists	bonus	bps	creativity	element	fixture	goals_conceded	goals_scored	ict_index	influence	kickoff_time	minutes	opponent_team	round	selected	team_a_score	team_h_score	threat	total_points	value	was_home	yellow_cards	GW	position	season
0	Aaron_Cresswell	0	0	0	0.0	454	10	0	0	0.0	0.0	2016-08-15T19:00:00Z	0	4	1	14023	1.0	2.0	0.0	0	55	False	0	1	DEF	2016-17
1	Aaron_Lennon	0	0	6	0.3	142	3	0	0	0.9	8.2	2016-08-13T14:00:00Z	15	17	1	13918	1.0	1.0	0.0	1	60	True	0	1	MID	2016-17
2	Aaron_Ramsey	0	0	5	4.9	16	8	3	0	3.0	2.2	2016-08-14T15:00:00Z	60	9	1	163170	4.0	3.0	23.0	2	80	True	0	1	MID	2016-17
3	Abdoulaye_Doucouré	0	0	0	0.0	482	7	0	0	0.0	0.0	2016-08-13T14:00:00Z	0	13	1	1051	1.0	1.0	0.0	0	50	False	0	1	MID	2016-17
4	Abdul Rahman_Baba	0	0	0	0.0	80	10	0	0	0.0	0.0	2016-08-15T19:00:00Z	0	20	1	1243	1.0	2.0	0.0	0	55	True	0	1	DEF	2016-17
5	Abel_Hernández	1	0	10	12.2	163	4	1	0	5.7	14.4	2016-08-13T11:30:00Z	90	8	1	26039	1.0	2.0	30.0	5	60	True	0	1	FWD	2016-17
6	Adama_Diomande	0	2	29	16.8	164	4	1	1	10.7	45.2	2016-08-13T11:30:00Z	90	8	1	38151	1.0	2.0	45.0	8	45	True	0	1	FWD	2016-17
7	Adam_Clayton	0	0	6	2.2	283	6	1	0	1.4	3.2	2016-08-13T14:00:00Z	90	14	1	17663	1.0	1.0	9.0	2	45	True	0	1	MID	2016-17
8	Adam_Federici	0	0	0	0.0	30	9	0	0	0.0	0.0	2016-08-14T12:30:00Z	0	11	1	4315	3.0	1.0	0.0	0	45	True	0	1	GK	2016-17
9	Adam_Forshaw	0	0	3	1.3	286	6	1	0	0.3	2.0	2016-08-13T14:00:00Z	69	14	1	2723	1.0	1.0	0.0	1	45	True	1	1	MID	2016-17

Last rows

	name	assists	bonus	bps	clean_sheets	creativity	element	fixture	goals_conceded	ict_index	influence	kickoff_time	minutes	opponent_team	own_goals	round	saves	selected	team_a_score	team_h_score	threat	total_points	transfers_balance	transfers_in	transfers_out	value	was_home	GW	position	season
133588	Kasper Schmeichel	0	0	20	0	0.0	200	293	1	4.1	40.6	2022-03-20T14:00:00Z	90	3	0	30	5	1406292	1.0	2.0	0.0	3	58209	65530	7321	48	True	30	GK	2021-22
133589	Ben White	0	1	26	1	0.4	67	291	0	2.0	19.2	2022-03-19T12:30:00Z	90	2	0	30	0	1238095	1.0	0.0	0.0	7	42553	52677	10124	45	False	30	DEF	2021-22
133590	Kaine Hayden	0	0	0	0	0.0	684	291	0	0.0	0.0	2022-03-19T12:30:00Z	0	1	0	30	0	1191	1.0	0.0	0.0	0	47	109	62	40	True	30	DEF	2021-22
133591	Daniel Castelo Podence	1	0	24	0	34.6	438	300	2	8.8	34.0	2022-03-18T20:00:00Z	77	10	0	30	0	102920	3.0	2.0	19.0	5	22232	24888	2656	55	True	30	MID	2021-22
133592	Halil DerviÅoÄlu	0	0	0	0	0.0	95	293	0	0.0	0.0	2022-03-20T14:00:00Z	0	9	0	30	0	1073	1.0	2.0	0.0	0	-3	0	3	54	False	30	FWD	2021-22
133593	Kurt Zouma	0	0	6	0	1.8	128	298	3	0.2	0.6	2022-03-20T16:30:00Z	90	17	1	30	0	146757	1.0	3.0	0.0	-1	10796	12551	1755	54	False	30	DEF	2021-22
133594	Aaron Cresswell	0	0	15	0	14.8	411	298	3	4.1	22.0	2022-03-20T16:30:00Z	90	17	0	30	0	824387	1.0	3.0	4.0	1	18750	35570	16820	54	False	30	DEF	2021-22
133595	John Ruddy	0	0	0	0	0.0	452	300	0	0.0	0.0	2022-03-18T20:00:00Z	0	10	0	30	0	16805	3.0	2.0	0.0	0	63	170	107	43	True	30	GK	2021-22
133596	Wilfred Ndidi	0	0	0	0	0.0	216	293	0	0.0	0.0	2022-03-20T14:00:00Z	0	3	0	30	0	75393	1.0	2.0	0.0	0	-207	538	745	48	True	30	MID	2021-22
133597	Ryan Fredericks	0	0	0	0	0.0	415	298	0	0.0	0.0	2022-03-20T16:30:00Z	0	17	0	30	0	8686	1.0	3.0	0.0	0	81	139	58	44	False	30	DEF	2021-22

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Control

Other Punctuation

Currency Symbol

Other Number

Modifier Symbol

Connector Punctuation

Space Separator

Dash Punctuation

Other Symbol

Format

Other Letter

Initial Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common